In Virus Disruption, Direct Mail Offers Advantages

As the majority of American adults hunker down at home, with all but essential businesses closed or working remotely because of the COVID-19 crisis, AccuList reminds marketers of the unique advantages of targeted direct mail, which takes promotions right into homes, has the highest response rate of any channel, and has the ability via print technology to connect with digital, too. A post by direct-response agency SeQuel Response notes that since the majority of American have responded to the crisis by increasing online shopping, many direct marketers have flooded the digital zone with new e-commerce sites, digital advertising, social media promotions, and e-mail. With online channels overcrowded, direct mail offers a way to reach consumers in their homes and rise above the noise. The agency provides some good tips: 1) Ensure creative elements and messaging align with consumer sentiments for positive brand awareness; 2) reconsider mail frequency and timing if warranted but make sure not to lose touch with the audience; 3) solidify existing customer relations, with increased focus on retention and brand awareness to help survive on the other side of the crisis; 4) integrate direct mail with digital marketing, a proven way to boost response and reduce CPA, including use of print technology, such as QR, AR and VR; and 5) plan for the post-crisis world, recognizing that a campaign takes six weeks from list development to mail drop, to make sure messaging can evolve post-crisis. Given current disruption of buying processes, “optichannel” campaigning, meaning supporting a customer’s buying process via the channel best for them, becomes essential for ROI. Direct mail adds special advantages to an optichannel mix, especially when combined with modeling and digital integration, argues a recent Target Marketing magazine article. Among the article’s examples is Galileo Learning, which operates children’s summer camps in California and Illinois. The company used response-lift customer modeling to identify higher-response prospects on external lists and then put the resulting savings toward even better creative. As a result, response surpassed expectations by bringing in 155 new campers and $66,000 in new revenue. In another Target Marketing case study, Meals on Wheels, in the Diablo region of California, mailed a holiday donor appeal that garnered $230,000 in donations and 43% new donors. The charity attributes the 75,000-piece mail campaign’s success to, first, defining more-responsive list segments for existing donors, lapsed donors and prospects via demographics and customer-look-alike modeling, and, second, adding targeted digital advertising (e-mail, social and online display) that delivered a 600% increase in campaign impressions over the mail-only control. For more, see https://www.acculist.com/amid-virus-disruption-direct-mail-has-optichannel-advantages/

For 2020: Clean, Personalized, Predictive Data

As 2019 closes, marketers have a year's worth of multichannel customer, campaign and sales information to analyze for 2020 plans. So what are the big data trends that will maximize ROI? Clean, up-to-date, quality data is still the basis for effective marketing. So start by monitoring data for issues such as duplicates, missing information or bad records to figure out how and where they are occurring. Then standardize processes at each data entry point. Next validate the accuracy of data via data tools or expert data services. Identify and scrub duplicates. Once data is standardized, validated and de-duped, improve its analytic value with third-party data appending. Establish a feedback process to spot and update/purge incorrect information, and communicate standards and processes so all teams understand the value of clean data in segmentation targeting, lead response, customer service, etc. Meanwhile, the 2019 Martech Conference highlighted other trends, such as the role of data in personalization. Expect to see increased use of Artificial Intelligence (AI) and machine learning (ML) for personalization. For example, for more personalized acquisition, ML can recognize if people from certain areas are more likely to respond to a specific offer or which past high-response special offers may resonate in future. When personalization is combined with elimination of data silos and creation of a single customer view across channels, marketing becomes especially powerful. Indeed, data integration and elimination of data silos are key to the growing "agile marketing" trend, which breaks down team silos to focus on high-value projects collectively. Marketers should also boost use of predictive modeling. Why? A study by ClickZ and analytics platform provider Keen found that 58% of marketers using predictive modeling experienced a 10%-25% ROI lift, while another 19% saw more than a 50% uplift. While retroactive campaign data can be very useful, it’s not as good at informing future multichannel directions. Standard data analysis often mistakenly gives most credit to last-click channels such as search or transactional activities. The Keen/ClickZ survey found marketers using predictive modeling boosted results in multiple areas, including better understanding of the target audience (71%), optimizing touchpoints on the customer journey (53%), and improving creative performance (44%). For more detail, see https://www.acculist.com/prep-for-2020-marketing-with-clean-personalized-predictive-data/

Use Predictive Analytics to Harness Big Data Power

Predictive analytics, meaning scientific analysis that leverages customer and donor data to predict future prospect and customer actions, can scientifically "cherry-pick" names from overwhelming "big data" lists and other files. For example, at AccuList, experienced statisticians build customized Good Customer Match Models and Mail Match Models to optimize direct mail results for prospect lists, as well as one-on-one models for list owners to help acquire more new customers or donors. Plus, predictive models can aid other marketing goals, such as retention, relationship management, reactivation, cross-sell, upsell and content marketing. One of the benefits of analytics is improved lead scoring, for example. Lead scoring is too often a sales and marketing collaboration, in which salespeople provide marketers with their criteria for a "good" lead and marketers score incoming responses, either automatically or manually, for contact or further nurturing. Predictive analytics will remove anecdotal/gut evaluation in favor of more accurate scoring based on data such as demographics/firmographics, actual behavior and sales value. It also speeds the scoring process, especially when combined with automation, so that "hot" leads get more immediate contact. And it allows for segmentation of scored leads so that they can be put on custom nurturing tracks more likely to promote conversion and sales. In fact, with predictive analytics, list records can be segmented to achieve multiple goals. The most likely to respond can be prioritized in a direct mail campaign to increase cost-efficiency. Even more helpful for campaign ROI, predictive analytics can look at the lifetime value of current customers or donors and develop prospect matching so mailings capture higher-value new customers. Predictive analytics also can tailor content marketing and creative by analyzing which messages and images resonate with which customer segments, identified by demographics and behavior, in order to send the right creative to the right audience. Finally, analytics can develop house file segmentation for retention and reduced churn, looking at lapsed customers or donors to identify the data profiles, timing inflection points and warning signs that trigger outreach and nurturing campaigns. Data analysis and modeling can also be used to improve future marketing ROI in terms of channel preferences and even product/services development. Of course, reliable predictions require a database of clean, updated existing customer or donor records, which AccuList also supports via its list hygiene and enhancement services. For helpful links, see https://www.acculist.com/predictive-analytics-harnesses-data-for-marketing-roi/

Industrial Marketers Expanding Direct & Digital

We have a long track record of helping warehouse, industrial and back-office product marketers via data brokerage, predictive analytics and multi-channel direct marketing, and the good news is that many industrial marketers were inspired to expand investment in 2018. According to the "2018 Budget Trends in Industrial & Technology Marketing" report published by engineering.com, industrial marketing budgets in 2018 are expected to hit "the highest levels of growth (45%) and the lowest reported levels of shrinking budgets (4%), of any of the last five years." More than half (54%) of manufacturing marketers expect their budget to be larger in 2018. But expanded multi-channel spending still needs to be smart spending. As data brokers, we can't overemphasize that successful B2B direct marketing--including direct mail, print catalogs and e-mail campaigns--starts with quality, targeted data. Marketers can boost response by using predictive analytics and buyer profiles to target--and then opt for the rental lists of active product inquirers/buyers that our proprietary list research finds to be top performers in each vertical. Targeting the right message to decision-makers in the buying process is also key; with product and industry factors affecting whether to select a chief engineer, purchasing manager, warehouse manager, human resources chief, or C-suite executive in mailing lists. While direct mail continues its response leadership, there's no denying that most B2B buyers are digital shoppers today. Research by Acquity Group finds 94% of B2B buyers say they conduct some form of online research before purchasing a business product, for example. Forrester Research has found that 59% of B2B buyers prefer not to interact with a sales rep, and 74% find buying from a website more convenient. That makes digital catalog sites into essential sales tools, requiring a good search engine optimization (SEO) strategy given that 73% of global traffic to B2B companies comes from search engine results. But most successful B2B marketers also invest in paid digital efforts. In fact, a 2015 study by Content Marketing Institute, MarketingProfs, and Fathom found that manufacturers ranked search engine marketing highest among paid marketing options in terms of efficacy (52%) and promoted social media posts came in second (39%). For social media ads, B2B marketers see video as a top response tactic, which is why manufacturers in the study ranked YouTube as the most effective social media site, followed by LinkedIn ads. For more, see our blog post at http://www.acculistusa.com/industrial-marketers-bet-more-on-2018-direct-digital/

Smart List, Mail Design Cut Postage Costs

Maximizing direct mail ROI requires cost efficiency, especially in the postage realm. Good list selection and hygiene are key to avoiding mailing waste. Another important factor in controlling postage costs is mail package design. If you are sending mailings to the wrong people, people unlikely to be interested in your offer, lower response rate and cost inefficiency will be reflected in poor ROI. Using tools from predictive modeling to customer profiling to segmentation can improve list choices and targeting parameters. Plus, AccuList USA's proprietary list research can help clients find the top-performing lists for their specific vertical market. But no matter how data is targeted, dirty data with duplicates, errors, invalid addresses, and old demographic or purchase history information will create costly delivery failures and misdirected waste. That's why AccuList USA goes beyond list brokerage to provide expert merge-purge services that combine and standardize data in order to eliminate duplicates, identify and correct old or undeliverable addresses, verify zip codes, and maximize postal discounts. In fact, by comparing names and addresses to real-time information on multiple public and private databases, AccuList USA offers an advanced hygiene regimen that is able to identify and correct twice as many addresses as standard USPS FASTforward and NCOALink use, which only represent a portion of U.S. movers and undeliverables. USPS offers postage discounts to mail pieces that are not only addressed correctly but also designed for processing on automated equipment. For mail to qualify for the lowest postage rates, the mail piece needs to be at a letter size, which is a minimum of 3 ½" high by 5" long and a maximum of 6" high by 10½" long. Larger mail pieces fall into the flat category, which can cost more than twice as much per piece as a letter. Plus, to take advantage of automation, the piece must by rectangular, with an aspect ratio (length divided by height) of 1.3 to 2.5, or risk costing twice as much in postage. The addressing and barcode block on letter size mail also must fit into the USPS OCR read area to avoid additional postage. Naturally, weight matters. Keep the weight of a folded self-mailer under 1 ounce; if the piece weighs over 3 ounces, it must go in an envelope. Thickness counts, too.  If a mail piece is less than 0.009" thick, it costs more in postage. On the other hand, the maximum thickness for letter size mail is ¼" and for flat size is ¾". For more, see http://www.acculistusa.com/smart-list-mail-design-choices-help-save-on-postage/

Data-Driven Mailings Create Arts Marketing Success

If you need an example of direct mail power in arts and entertainment marketing, look at the Everyman Theater Company, a nonprofit Baltimore-based theater group. Last year, it incorporated data-driven strategies to optimize its direct mail marketing with impressive results. The total ROI for one campaign was an astounding 552%, with an 80% increase in ticket sales and revenue, for example. Prior to its data-driven mailings, Everyman's traditional marketing had relied mostly broadcast messages: postcards, radio spots, and e-blasts. Everyman's prior direct mail efforts usually equated to mailing to its entire list. Enter Marketing Director Jonathan Waller. He hired a database services firm to clean up the database (mainly removing duplicate names), to identify segments most likely to purchase tickets, and to build predictive models. After direct-mail testing of segments and messaging, both response rates and cost efficiency improved. For more detail, see the Direct Marketing News story at http://www.dmnews.com/data-driven-marketing-gets-dramatics-results/article/290791/

Time to Spring-Clean Fundraising Databases

Spring has officially arrived, and it's time to clear the cobwebs from your database, fundraisers. We ran across a timely reminder of this in a NonProfit Quarterly article. Here's a quick synopsis of the three steps to a clean and profitable database. Step 1: Assess the data you need to meet your fundraising goals and then the data you have and when it was last updated. Ideally, your database should be updated and scrubbed annually. Step 2: Verify the accuracy of your data to remove bad addresses, deceased, duplicates, and lapsed contacts. Remember that 15% of households move each year, and 70% of business data is out of date within a year. Step 3: Decide on the value of your names in terms of past and potential donations, and determine an appropriate contact strategy in terms of frequency and channels. If you rely on a broad base of small donors acquired through direct mail, your road to cost-effective fundraising can mean long-term value calculations and modeling, ranking-scoring for propensity to give. Overwhelmed by the task? AccuList USA is among the various third-party vendors that can help. The one thing you can't afford to do is let your database gather dust. As an apt quote from Shannon Duffy, vice president of marketing for Salesforce's Data.com, reminds: "Data is the DNA and the lifeblood of organizations." For the complete article go to http://www.nonprofitquarterly.org/management/21985-spring-cleaning-time-for-your-organization-s-fundraising-database.html

Modeling Can Turn 'Big Data' Into Actionable Data

"Don't try to boil the ocean" is the advice Wayne Townsend, CEO of ClickSquared, gives marketers overwhelmed by "big data" in a recent article for "Target Marketing" magazine. In other words, before you spend to manage a huge database and cook it with special tools, figure out what information you really need for your marketing and how you can make it work for you -- make it actionable. Before you pore over web analytics of every keystroke, figure out acquisition and retention rates and their drivers. But how do you start to develop that actionable data? By modeling, answers Townsend, and you don't have to be a data analysis guru to do it, he reassures. He suggests using embedded pre-built, industry-specific predictive models that are affordable and easy to use, as well as traditional descriptive models such as RFM (recency, frequency and monetary value), to help better target customers otherwise lost in the mass of "big data." For all his comments, see http://www.targetmarketingmag.com/article/big-data-vs-actionable-data-2-steps-get-information-marketers-need/1